AIMC Topic: Curriculum

Clear Filters Showing 71 to 80 of 352 articles

Transforming undergraduate dental education: the impact of artificial intelligence.

British dental journal
Artificial intelligence (AI) is a rapidly evolving area, having had a transformative effect within some areas of medicine and dentistry. In dentistry, AI systems are contributing to clinical decision-making, diagnostics and treatment planning. Ongoin...

Enhancing Medical Student Engagement Through Cinematic Clinical Narratives: Multimodal Generative AI-Based Mixed Methods Study.

JMIR medical education
BACKGROUND: Medical students often struggle to engage with and retain complex pharmacology topics during their preclinical education. Traditional teaching methods can lead to passive learning and poor long-term retention of critical concepts.

Food for thought: a qualitative assessment of medical trainee and faculty perceptions of nutrition education.

BMC medical education
BACKGROUND: The American Society of Clinical Nutrition recommends 37 to 44 h of undergraduate medical nutrition education. The Total Health Curriculum at Geisinger Commonwealth School of Medicine (GCSOM) contains 14 h of objective-based nutritional i...

Motif-aware curriculum learning for node classification.

Neural networks : the official journal of the International Neural Network Society
Node classification, seeking to predict the categories of unlabeled nodes, is a crucial task in graph learning. One of the most popular methods for node classification is currently Graph Neural Networks (GNNs). However, conventional GNNs assign equal...

Exploring prospects, hurdles, and road ahead for generative artificial intelligence in orthopedic education and training.

BMC medical education
Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, has revolutionized many fields, including medical education. Generative AI leverages machine learning ...

Will AI reshape or deform pharmacy education?

Currents in pharmacy teaching & learning
The integration of artificial intelligence (AI) into pharmacy education offers transformative opportunities but also introduces significant challenges. This commentary explores whether AI will reshape or deform pharmacy education by analyzing its eff...

Artificial intelligence education in medical imaging: A scoping review.

Journal of medical imaging and radiation sciences
BACKGROUND: The rise of Artificial intelligence (AI) is reshaping healthcare, particularly in medical imaging. In this emerging field, clinical imaging personnel need proper training. However, formal AI education is lacking in medical curricula, coup...

Integrating Generative Artificial Intelligence Into Medical Education: Curriculum, Policy, and Governance Strategies.

Academic medicine : journal of the Association of American Medical Colleges
The rapid advancement of generative artificial intelligence (GAI) is poised to revolutionize medical education, clinical decision-making, and health care workflow. Despite considerable interest and a surfeit of newly available tools, medical educator...

Generative artificial intelligence (AI) literacy in nursing education: A crucial call to action.

Nurse education today
INTRODUCTION: Generative artificial intelligence (AI) is revolutionizing healthcare, necessitating corresponding advancements in nursing education to ensure that future nurses are equipped for a technologically driven environment. This article explor...

How to incorporate generative artificial intelligence in nephrology fellowship education.

Journal of nephrology
Traditional nephrology education faces challenges due to expanding medical knowledge, case complexity, and personalized learning needs. Generative artificial intelligence (AI), like ChatGPT, offers potential solutions to enhance nephrology education ...